Personnel training early warning analysis method based on vocational skill training personnel management system

Abstract

The invention discloses a personnel training early warning analysis method based on a vocational skill trainee management system, and the method comprises the steps: collecting, decomposing and extracting the related information of each class through a class management subsystem for processing class information input on the basis of the vocational skill trainee management system; an employment management subsystem for processing employment information input divides and arranges employment information of personnel in each class; the attendance management subsystem for processing daily attendance lists and counts the attendance conditions of each student, compares data in each subsystem with related early warning index data, then refers to a formula, carries out matched measure early warning on a plurality of conditions in training implementation, and pushes the early warning information to the large visual screen in real time; according to the system and the method, related indexes are extracted by analyzing and treating data of each system, and early warning is accurately carried out on related conditions of a training institution or trainees in real time, so that a better training effect is completed.

Description

technical field [0001] The invention belongs to the technical field of data governance and big data, and in particular relates to a personnel training early warning analysis method based on a vocational skills training personnel management system. Background technique [0002] Recently, through vigorously carrying out various trainings, the comprehensive quality and skill level of farmers, especially those with working ability, have been continuously improved. While affirming the training results, we have to solve some problems in the training process, especially the implementation link that directly affects the training personnel or training institutions, such as: 1. There is no quantitative index for the number of students in the class; 2. The class attendance judgment method; 3. How to recommend the trainee's post after training; 4. There are doubts about the employment index of the class; 5. The attendance index of the trainee during the training process; 6. How to imple...

AI Technical Summary

Problems solved by technology

While affirming the training results, we have to solve some problems in the training process, especially the implementation links that directly affect the trainers or training institutions, such as: 1. There is no quantitative indicator for the number of students in the class; 2. The method of class attendance judgment; 3. How to recommend the positions for students after training; 4. There are doubts about the employment indicators of the class; 5. The attendance indicators of the students during the training process; 6. How to implement the employment of students;

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